%0 Journal Article
%T Upper Bound on Redundancy Reduction in Predictive-Entropy Subband Image Coding<br>熵子带图象编码中冗余量降低之上限的预测
%A Zhuo Lun
%A <br>Milo.
%A DA
%J 中国图象图形学报
%D 1997
%I 
%X This paper deals with the estimation of the theoretical and practical performance efficiency of a subband coding system for still images using memoryless quantizers optimized to entropy and mean-square error constraints. An approach with the concept of rate-distortion theory has allowed to derive a function in special form,which gives the performance gain in terms of signal-to-noise ratio and redundancy reduction. The theoretical upper bounds on entropy coded bit rate reduction were found to be 1.10; 1.51 and 2.10 bits per pixel for M = 4,7 and 16 subbands, respectively. Some simulation results concerning practical performance are presented and interpreted on test images.
%K 图象处理
%K 编码
%K 熵编码
%K 冗余量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=E0E89D82A8CE042059394094CB16C123&yid=5370399DC954B911&vid=0B39A22176CE99FB&iid=E158A972A605785F&sid=1DF3F9D75A12D97B&eid=D537C66B6404FE57&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=0